Author

Xi Xiong

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Preprint Aug 2026

Offline Multi-Agent Reinforcement Learning with a Physics-Informed World Model for Cooperative Mixed Traffic Control

This study investigates cooperative control of connected and automated vehicles (CAVs) at partially observable highway bottlenecks in mixed traffic, aiming to mitigate congestion without relying on complete global traffic states or online trial-and-error. We propose a physics-informed world model-based offline multi-ag...

Lu Liu, Chi Xie, Xi Xiong · 0 citations

Preprint Aug 2026

Dreamer-SAC: Off-Policy Learning in Latent World Models for Sample-Efficient Autonomous Driving

The Dreamer-SAC framework, which integrates a recurrent state-space world model with an off-policy soft actor-critic algorithm trained directly in latent space, uses a combination of real interactions and short-horizon generated trajectories with n-step target estimation and multi-objective supervision.

Jia-Zhuo Li, Lin-Jiang Cao, Qi Liu et al. · 0 citations